# -*- coding: utf-8 -*-
# Copyright 2025 BrainX Ecosystem Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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# ==============================================================================
"""
This module provides various running and training algorithms
for various neural networks.

The supported training algorithms include

- offline training methods, like ridge regression, linear regression, etc.
- online training methods, like recursive least squares (RLS, or Force Learning),
  least mean squares (LMS), etc.
- back-propagation learning method
- and others

The supported neural networks include

- reservoir computing networks,
- artificial recurrent neural networks,
- spiking neural networks,
- and others.
"""

from . import base, back_propagation, online, offline
